Buscar
Mostrando ítems 1-10 de 968
Identification of structural damage in flexible structures using system norm and neural networks
(2006-12-01)
Nowadays there is great interest in damage identification using non destructive tests. Predictive maintenance is one of the most important techniques that are based on analysis of vibrations and it consists basically of ...
Identification of structural damage in flexible structures using system norm and neural networks
(2006-12-01)
Nowadays there is great interest in damage identification using non destructive tests. Predictive maintenance is one of the most important techniques that are based on analysis of vibrations and it consists basically of ...
Damage detection in beams by using artificial neural networks and dynamical parameters
(IMPRENTA UNIV ANTIOQUIAMEDELLIN, 2012-06)
In this paper is presented a multilayer perceptron neural network combined with the Nelder-Mead Simplex method to detect damage in multiple support beams. The input parameters are based on natural frequencies and modal ...
Convolutional neural networks for automated damage recognition and damage type identification
(John Wiley and Sons Ltd, 2018)
Recurring expenses associated with preventative maintenance and inspectionproduce operational inefficiencies and unnecessary spending. Human inspec-tors may submit inaccurate damage assessments and physically inaccessibl ...
Capsule neural networks for structural damage localization and quantification using transmissibility data
(Elsevier, 2020)
One of the current challenges in structural health monitoring (SHM) is to take the most advantage
of large amounts of data to deliver accurate damage measurements and predictions. Deep Learning
methods tackle these ...
Experimental and simulation study of compose panels inelastic behavior using Artificial Neural Networks
(CONSEJO SUPERIOR INVESTIGACIONES CIENTIFICAS-CSIC, 2020)
Conditional maintenance using artificial neural network and vibration techniques to improve production cost-effectiveness
(2008-01-01)
Currently, a number of researchers have been working to understand the health monitoring and damage detection problems. Structural health monitoring (SHM) and damage detection techniques are instrumental for the engineering ...
Detection of diabetic retinopathy based on a convolutional neural network using retinal fundus images
(Springer Verlag, 2017)
Diabetic retinopathy is one of the leading causes of blindness. Its damage is associated with the deterioration of blood vessels in retina. Progression of visual impairment may be cushioned or prevented if detected early, ...